Urgent and long overdue: legal reform and drug decriminalization in Canada
Bibliographic record
Abstract
The International Guidelines on Human Rights and Drug Policy recommend that states commit to adopting a balanced, integrated, and human rights-based approach to drug policy through a set of foundational human rights principles, obligations arising from human rights standards, and obligations arising from the human rights of particular groups. In respect of the Guidelines and standing obligations under UN Treaties, Canada must adopt stronger and more specific commitments for a human rights-based, people-centered, and public health approach. This approach must commit to the decriminalization of people who use drugs and include the decriminalization of possession, purchase, and cultivation for personal consumption. In this report, we will first turn to the legal background of Canada's drug laws. Next, we will provide an overview of ongoing law reform proposals from civil society groups, various levels of government, the House of Commons, and the Senate. We end with a three-staged approach to reform and a series of targeted recommendations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".